A popular strategy for dealing with the domain gap is to learn features that are consistent across domains. One of the most popular methods of aligning features for both domains is adversarial training of a discriminator and a feature extractor such that the discriminator cannot distinguish between the features of source and target domains [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}. Our method is largely orthogonal to the above domain adaptation methods.
